Carbon monoxide poisoning cases presenting with non-specific symptoms
Bibliographic record
Abstract
Carbon monoxide (CO) is a colourless and odourless gas appearing as a result of incomplete combustion of carbon-containing fuels. Many domestic or occupational poisonings are caused by CO exposure. Malfunctioning heating systems, improperly ventilated motor vehicles, generators, grills, stoves and residential fires may be listed in the common sources of CO exposure. The aim of this study was to emphasize the significance of early diagnosis of CO poisoning with non-invasive measurement of CO levels of the patients with non-specific symptoms using a pulse oximeter device in the triage. Our study was a cross-sectional study. Patients who presented to the emergency department (ED) due to non-specific symptoms and had a Canadian Triage and Acuity scale level of 4 or 5 were included in the study; 106 (5.9%) of 1788 patients admitted during the study period were diagnosed with CO poisoning. Patients with CO poisoning and the other patients had statistically significant differences in terms of presenting symptoms, namely, headache, dizziness, nausea, and vomiting. More CO poisoning cases were admitted in the fall and winter compared to the spring and summer. The number of CO poisoning victims can be decreased if preventive measures like CO monitoring systems and well-designed ventilation systems are generalized at homes and workplaces. Measurement of carboxyhaemoglobin levels of patients presenting to ED due to non-specific symptoms like headache and dizziness during cold seasons and winter months using a pulse CO-oximeter should be a part of the routine of emergency medicine triage.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".